Attention
What is Attention?
Attention is an AI-native sales platform that captures meetings, calls, emails, CRM activity, and other revenue signals in one system. Its AI agents analyze this data to automate follow-ups, CRM updates, deal alerts, coaching workflows, and sales intelligence. The platform is designed for sales representatives, revenue operations teams, sales leaders, and customer success organizations. Attention combines conversation recording and transcription with cross-call analysis, forecasting, scorecards, and workflow automation. Its differentiator is configurable AI agents that can execute revenue workflows from natural-language instructions while keeping actions auditable and approval-based.
How to use Attention?
1. Request access or schedule a demo and connect your CRM, email, meeting, and communication tools. 2. Configure workspace permissions, knowledge sources, scorecards, and the sales workflows you want Attention to monitor. 3. Review AI-generated insights and approve recommended actions such as follow-up emails, CRM updates, deal alerts, and next steps.
Attention's Core Features
AI Sales Agents: Build configurable agents that monitor revenue data and execute repetitive sales workflows.
Call Recording and Transcription: Capture and transcribe sales conversations to create searchable revenue data.
Follow-Up Automation: Draft personalized follow-up emails and surface actionable next steps from call insights.
CRM Auto-Update: Convert conversation details into structured CRM fields to reduce manual data entry.
Deal Risk Monitor: Detect risk signals, churn indicators, and red-flag language before deals lose momentum.
Ask Attention Anything: Search calls, notes, CRM data, and knowledge bases to answer deal and coaching questions.
AI Coaching Scorecards: Evaluate sales conversations against BANT, MEDDIC, or custom performance criteria.
Reporting and Forecasting: Use conversation and pipeline signals to improve deal visibility and forecast accuracy.
Knowledge Base Builder: Identify new product information in calls and help keep connected knowledge sources current.
Proactive Next-Best Actions: Recommend timely actions such as contacting buyers, re-engaging stalled deals, or drafting proposals.
Attention's Use Cases
- #1
Sales teams turning discovery-call transcripts into personalized follow-up emails and documented next steps
- #2
Revenue operations leaders automating CRM field updates from sales conversations
- #3
Sales managers identifying deal risk, churn signals, and stalled opportunities across active pipelines
- #4
Enablement teams scoring representative calls against BANT, MEDDIC, or custom coaching frameworks
- #5
GTM leaders analyzing closed-won and closed-lost conversations to identify repeatable buying patterns
- #6
Customer success teams monitoring conversations for expansion opportunities and escalation risks
- #7
Revenue teams querying transcripts, CRM notes, and knowledge bases to answer deal-specific questions
Frequently Asked Questions
Analytics of Attention
Monthly Visits Trend: Apr 2025 - Oct 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 59.52% |
| Argentina | 9.24% |
| India | 8.46% |
| Canada | 6.27% |
| United Kingdom | 3.38% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| attention ai | 2.9K | $49.48 |
| attention | 79.6K | $2.89 |
| gong | 156.2K | $2.06 |
| attention gtm | 290 | -- |
| attention's founders and c-suite, | 180 | -- |
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